I keep getting criticisms about not matching ground truth in DeOldify. Yes. I get it. DeOldify didn't memorize every single thing in the world. Good luck making a model doing that. Now carry on while I make cool stuff.https://twitter.com/citnaj/status/1275884364996333570 …
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Replying to @citnaj
That looks quite impressive to begin with. There will always be someone somewhere complaining that the 99% solution didn't solve the remaining 1% :D One question: do you have any blog post explaining the tech (at some details at least) behind the model?
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Replying to @YassineAlouini
There was this blog from last year: https://www.fast.ai/2019/05/03/decrappify/ … Of course that's quite bit dated now compared to what I'm working on currently. I don't even use a GAN anymore. But that's a good start.
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Haven't for a year actually. It's something else that's much more controllable based on the perceptual loss work talked about in FastAI on super resolution. There's quite a bit of modification to it to make it work.
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